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Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model
The constantly expanding losses caused by frequent natural disasters pose many challenges to the traditional catastrophe insurance market. The purpose of this paper is to develop an innovative and systemic trigger mechanism for pricing catastrophic bonds triggered by multiple events with an extreme...
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Published in: | Risks (Basel) 2023-08, Vol.11 (8), p.151 |
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description | The constantly expanding losses caused by frequent natural disasters pose many challenges to the traditional catastrophe insurance market. The purpose of this paper is to develop an innovative and systemic trigger mechanism for pricing catastrophic bonds triggered by multiple events with an extreme dependence structure. Due to the bond’s low cashflow contingencies and the CAT bond’s high return, the multiple-event CAT bond may successfully transfer the catastrophe risk to the huge financial markets to meet the diversification of capital allocations for most potential investors. The designed hybrid trigger mechanism helps reduce the moral hazard and increase the bond’s attractiveness with a lower trigger likelihood, displaying the determinants of the wiped-off coupon and principal by both the magnitude and intensity of the natural disaster events involved. As the trigger indicators resulting from the potential catastrophic disaster might be associated with heavy-tailed margins, nested Archimedean copulas are introduced with marginal distributions modeled by a POT-GP distribution for excess data and common parametric models for moderate risks. To illustrate our theoretical pricing framework, we conduct an empirical analysis of pricing a three-event rainstorm CAT bond based on the resulting losses due to rainstorms in China during 2006–2020. Monte Carlo simulations are carried out to analyze the sensitivity of the rainstorm CAT bond price in trigger attachment levels, maturity date, catastrophe intensity, and numbers of trigger indicators. |
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The purpose of this paper is to develop an innovative and systemic trigger mechanism for pricing catastrophic bonds triggered by multiple events with an extreme dependence structure. Due to the bond’s low cashflow contingencies and the CAT bond’s high return, the multiple-event CAT bond may successfully transfer the catastrophe risk to the huge financial markets to meet the diversification of capital allocations for most potential investors. The designed hybrid trigger mechanism helps reduce the moral hazard and increase the bond’s attractiveness with a lower trigger likelihood, displaying the determinants of the wiped-off coupon and principal by both the magnitude and intensity of the natural disaster events involved. As the trigger indicators resulting from the potential catastrophic disaster might be associated with heavy-tailed margins, nested Archimedean copulas are introduced with marginal distributions modeled by a POT-GP distribution for excess data and common parametric models for moderate risks. To illustrate our theoretical pricing framework, we conduct an empirical analysis of pricing a three-event rainstorm CAT bond based on the resulting losses due to rainstorms in China during 2006–2020. Monte Carlo simulations are carried out to analyze the sensitivity of the rainstorm CAT bond price in trigger attachment levels, maturity date, catastrophe intensity, and numbers of trigger indicators.</description><identifier>ISSN: 2227-9091</identifier><identifier>EISSN: 2227-9091</identifier><identifier>DOI: 10.3390/risks11080151</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>ARMA model ; Bonds ; Capital markets ; CAT bond pricing ; Catastrophes ; Catastrophes (Mathematics) ; CIR model ; Design ; Disasters ; Earthquakes ; extreme value theory ; Moral hazard ; nested Archimedean copula ; Prices ; Prices and rates ; Pricing ; Rain ; Reinsurance ; Retention ; Securitization ; Time series</subject><ispartof>Risks (Basel), 2023-08, Vol.11 (8), p.151</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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The purpose of this paper is to develop an innovative and systemic trigger mechanism for pricing catastrophic bonds triggered by multiple events with an extreme dependence structure. Due to the bond’s low cashflow contingencies and the CAT bond’s high return, the multiple-event CAT bond may successfully transfer the catastrophe risk to the huge financial markets to meet the diversification of capital allocations for most potential investors. The designed hybrid trigger mechanism helps reduce the moral hazard and increase the bond’s attractiveness with a lower trigger likelihood, displaying the determinants of the wiped-off coupon and principal by both the magnitude and intensity of the natural disaster events involved. As the trigger indicators resulting from the potential catastrophic disaster might be associated with heavy-tailed margins, nested Archimedean copulas are introduced with marginal distributions modeled by a POT-GP distribution for excess data and common parametric models for moderate risks. To illustrate our theoretical pricing framework, we conduct an empirical analysis of pricing a three-event rainstorm CAT bond based on the resulting losses due to rainstorms in China during 2006–2020. Monte Carlo simulations are carried out to analyze the sensitivity of the rainstorm CAT bond price in trigger attachment levels, maturity date, catastrophe intensity, and numbers of trigger indicators.</description><subject>ARMA model</subject><subject>Bonds</subject><subject>Capital markets</subject><subject>CAT bond pricing</subject><subject>Catastrophes</subject><subject>Catastrophes (Mathematics)</subject><subject>CIR model</subject><subject>Design</subject><subject>Disasters</subject><subject>Earthquakes</subject><subject>extreme value theory</subject><subject>Moral hazard</subject><subject>nested Archimedean copula</subject><subject>Prices</subject><subject>Prices and rates</subject><subject>Pricing</subject><subject>Rain</subject><subject>Reinsurance</subject><subject>Retention</subject><subject>Securitization</subject><subject>Time series</subject><issn>2227-9091</issn><issn>2227-9091</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>M0C</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpVUcFO3DAQjSoqFQHH3iP1HPDYTmwfYUUpEis4bM_WxJ6k3oZ4a2crceMf-of9khq2Qu3MYUZP7z09zVTVR2DnQhh2kUL-ngGYZtDCu-qYc64awwwc_bN_qM5y3rJSBoTu2HG1fkjBhXms1_tpCc31T5qXZpPCOFIiX69wwbykuPtG9VWcfa6vMBc8zjXWq7jbT_j7-dfD_aZeR0_TafV-wCnT2d95Un39fL1ZfWnu7m9uV5d3jZNCLk0LpJCwl057Bb4FoZTUXDtHzoAZVIdkRM-1Hjww9NByEGg607rOOzTipLo9-PqIW7tL4RHTk40Y7CsQ02gxLcFNZGnoOSgvQbdeCod9r0ATYsf5ILUWxevTwWuX4o895cVu4z7NJb7lulVSqHK9wjo_sEYspmEe4pLQlfb0GFycaQgFv1Qdb6XSXBZBcxC4FHNONLzFBGZfPmb_-5j4A969iKM</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Tang, Yifan</creator><creator>Wen, Conghua</creator><creator>Ling, Chengxiu</creator><creator>Zhang, Yuqing</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>M0C</scope><scope>PIMPY</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-3938-8108</orcidid></search><sort><creationdate>20230801</creationdate><title>Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model</title><author>Tang, Yifan ; Wen, Conghua ; Ling, Chengxiu ; Zhang, Yuqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c434t-51e7aeab4c8d71d513774828ccec919f76ae93b288fd10ad15213a9695c6dca93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>ARMA model</topic><topic>Bonds</topic><topic>Capital markets</topic><topic>CAT bond pricing</topic><topic>Catastrophes</topic><topic>Catastrophes (Mathematics)</topic><topic>CIR model</topic><topic>Design</topic><topic>Disasters</topic><topic>Earthquakes</topic><topic>extreme value theory</topic><topic>Moral hazard</topic><topic>nested Archimedean copula</topic><topic>Prices</topic><topic>Prices and rates</topic><topic>Pricing</topic><topic>Rain</topic><topic>Reinsurance</topic><topic>Retention</topic><topic>Securitization</topic><topic>Time series</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tang, Yifan</creatorcontrib><creatorcontrib>Wen, Conghua</creatorcontrib><creatorcontrib>Ling, Chengxiu</creatorcontrib><creatorcontrib>Zhang, Yuqing</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Business Premium Collection</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global (ProQuest)</collection><collection>Publicly Available Content Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>DAOJ: Directory of Open Access Journals</collection><jtitle>Risks (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tang, Yifan</au><au>Wen, Conghua</au><au>Ling, Chengxiu</au><au>Zhang, Yuqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model</atitle><jtitle>Risks (Basel)</jtitle><date>2023-08-01</date><risdate>2023</risdate><volume>11</volume><issue>8</issue><spage>151</spage><pages>151-</pages><issn>2227-9091</issn><eissn>2227-9091</eissn><abstract>The constantly expanding losses caused by frequent natural disasters pose many challenges to the traditional catastrophe insurance market. The purpose of this paper is to develop an innovative and systemic trigger mechanism for pricing catastrophic bonds triggered by multiple events with an extreme dependence structure. Due to the bond’s low cashflow contingencies and the CAT bond’s high return, the multiple-event CAT bond may successfully transfer the catastrophe risk to the huge financial markets to meet the diversification of capital allocations for most potential investors. The designed hybrid trigger mechanism helps reduce the moral hazard and increase the bond’s attractiveness with a lower trigger likelihood, displaying the determinants of the wiped-off coupon and principal by both the magnitude and intensity of the natural disaster events involved. As the trigger indicators resulting from the potential catastrophic disaster might be associated with heavy-tailed margins, nested Archimedean copulas are introduced with marginal distributions modeled by a POT-GP distribution for excess data and common parametric models for moderate risks. To illustrate our theoretical pricing framework, we conduct an empirical analysis of pricing a three-event rainstorm CAT bond based on the resulting losses due to rainstorms in China during 2006–2020. Monte Carlo simulations are carried out to analyze the sensitivity of the rainstorm CAT bond price in trigger attachment levels, maturity date, catastrophe intensity, and numbers of trigger indicators.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/risks11080151</doi><orcidid>https://orcid.org/0000-0002-3938-8108</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | ARMA model Bonds Capital markets CAT bond pricing Catastrophes Catastrophes (Mathematics) CIR model Design Disasters Earthquakes extreme value theory Moral hazard nested Archimedean copula Prices Prices and rates Pricing Rain Reinsurance Retention Securitization Time series |
title | Pricing Multi-Event-Triggered Catastrophe Bonds Based on a Copula–POT Model |
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